Senior AI Software Application Engineer

Job Title

Senior AI Software Application Engineer

Role Summary

Engineer and support customer AI application deployment, optimization, training, and troubleshooting on semiconductor platforms. Work with customers, R&D, and application engineering teams to accelerate AI workloads from prototype to production.

This role focuses on software toolchain enablement, performance analysis, proof-of-concept development, and customer-facing technical support and training.

Experience Level

Senior — experienced professional. Typical guidance: 6+ years relevant industry experience (senior-level) up to 10+ years depending on prior responsibilities; see Education Requirements for degree/experience equivalencies.

Responsibilities

Primary responsibilities include customer enablement, software validation, and performance optimization.

• Develop and deliver technical training, workshops, and presentations on the AI software toolchain and best practices.
• Support customers in mapping, optimizing, and deploying AI workloads (CNNs, transformers, LLMs) on silicon platforms.
• Reproduce, analyze, troubleshoot, and resolve software issues across pre-silicon and post-silicon stages.
• Collaborate with R&D to validate bug fixes, feature enhancements, and performance optimizations.
• Build proofs-of-concept, benchmark applications, and demonstration platforms showcasing the toolchain.
• Analyze performance bottlenecks and recommend software and hardware/software co-design improvements.
• Create technical documentation, application notes, tutorials, and customer-facing collateral.
• Act as technical liaison between customers and internal engineering teams; support onsite or virtual engagements as required.

Requirements

Core technical skills and experience required for the role. Degree details are listed under Education Requirements.

• Must-have:
  • Deep knowledge of modern AI algorithms and ML workflows, including CNNs, transformer architectures, LLMs, and model deployment.
  • Strong software development skills in Python, shell scripting, and C/C++; experience in debugging and optimization.
  • Experience developing and optimizing software on embedded systems and SoC platforms; profiling and performance analysis of AI workloads.
  • Experience with pre-silicon simulation/emulation and post-silicon hardware platforms for validation and debugging.
  • Customer-facing experience: technical support, troubleshooting, and delivering workshops or trainings.
• Nice-to-have:
  • Linux device driver development and debugging experience.
  • Experience with AI accelerators (NPUs, DSPs, GPUs) and familiarity with compiler/runtime frameworks.
  • Familiarity with AI frameworks such as PyTorch, TensorFlow, ONNX.
  • Background in heterogeneous computing and hardware/software co-optimization.

Education Requirements

Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field with a minimum of 6 years of relevant industry experience; or Bachelor's degree in those fields with a minimum of 10 years of relevant industry experience. Equivalent practical experience may be considered where specified by the employer.

About the Company

Company: GlobalFoundries

Headquarters: Saratoga Springs, New York, USA

GlobalFoundries is a leading contract manufacturer for the global semiconductor industry, with facilities in multiple countries, including the USA. The company develops a broad portfolio of semiconductor technologies and employs around 13,000 people worldwide. GlobalFoundries focuses on enhancing competitiveness in specialized application solutions and fostering innovation in mobile communications, consumer electronics, and automotive applications.